Triple

T20568300
Position Surface form Disambiguated ID Type / Status
Subject KrF E505022 entity
Predicate shortName P43 FINISHED
Object KrF NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: KrF | Statement: [KrF, shortName, KrF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KrF
Context triple: [KrF, shortName, KrF]
  • A. KrF chosen
    KrF is a centrist Christian democratic political party in Norway known for its focus on family values, social welfare, and Christian ethics in politics.
  • B. KrU
    KrU is the abbreviated name of the Committee on Cultural Affairs, a governmental body responsible for matters related to culture and cultural policy.
  • C. KLRF
    KLRF is the ICAO airport code for Little Rock Air Force Base, a major U.S. Air Force installation near Jacksonville, Arkansas.
  • D. KR
    KR is the vehicle registration code used on license plates for the German city of Krefeld.
  • E. KR
    KR is the stock ticker symbol for The Kroger Co., one of the largest supermarket chains in the United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b4b721588190993ac7b0a9be2736 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a7a3fdc08190a34dcf4c4e51f078 completed April 20, 2026, 10:24 p.m.
Created at: April 16, 2026, 11:39 a.m.